Robust Constrained Model Predictive Voltage Control in Active Distribution Networks

Maharjan, Salish; Khambadkone, A.M.; Peng, Jimmy Chih-Hsien

doi:10.1109/tste.2020.3001115

Cited by 47 publications

(14 citation statements)

References 32 publications

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“…In [19], an MPC-based framework was proposed to realize the local control of DG units, and the alternating direction method of multipliers (ADMM) algorithm was adopted to obtain the near-global optimization of voltage control. Considering uncertainties from DG units and demands, a robust constrained model predictive control (RCMPC) was formulated for centralized voltage control in [20]. These centralized methods usually result in a heavy computational burden for large-scale distribution networks.…”

Section: Introductionmentioning

confidence: 99%

Distributed Coordinated Voltage Control for Distribution Networks With DG and OLTC Based on MPC and Gradient Projection

Jiao¹,

Chen

et al. 2022

IEEE Trans. Power Syst.

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Section: Introductionmentioning

confidence: 99%

Distributed Coordinated Voltage Control for Distribution Networks With DG and OLTC Based on MPC and Gradient Projection

Jiao¹,

Chen

et al. 2022

IEEE Trans. Power Syst.

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“…In [14], a two-stage approach is introduced to efficiently solve the optimal voltage regulation problem in distribution networks by allocating the available reactive power of distributed generation units. Recently, some scholars have also proposed real-time optimal voltage control schemes [15][16][17]. One of the popularly used control strategies in a real-time controller is MPC.…”

Section: Introductionmentioning

confidence: 99%

An integrated dynamic voltage control strategy in active distribution network based on improved model predictive control

Wang

et al. 2022

IET Generation Trans & Dist

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The distribution networks have more frequent and fast voltage fluctuations with the large‐scale access of distributed energy resources and electric vehicles. Based on remote terminal unit (RTU) and distribution terminal unit (DTU), traditional hierarchical control methods are difficult to achieve rapid global coordinated voltage regulation due to static modeling. For this purpose, this paper proposes an integrated dynamic voltage control strategy which integrates the objectives of local voltage control and secondary voltage control. First, simplified dynamic models of controllable equipment in active distribution network are established instead of the static models. On this basis, the state‐space prediction model of the control system is established. Then, based on the improved model predictive control (IMPC), the integrated dynamic voltage control strategy realizes rapid and global coordinated control through state prediction, rolling optimization and real‐time feedback correction. Numerical results show that the proposed strategy can achieve fast global coordinated voltage control in the time scale of seconds.

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“…A voltage‐control strategy based on multistep MPC was used to adjust the Q(U) characteristics to reduce the number of tap movements of the on‐load tap changer (OLTC) and also reduce the number of voltage fluctuations in [7]. Also, an MPC‐based control strategy was implemented in [8, 9], where the local Q(U) control parameters were tuned and adjusted to deal with voltage violations on the grid. In [10], the local Q(U) characteristic is adjusted and combined with a central controller to achieve coordinative voltage control.…”

Section: Introductionmentioning

confidence: 99%

“…In [12], optimal power flow is used to coordinate the droop control of DG in dealing with overvoltage challenges on distribution grids. However, the implementation of schemes such as in [7][8][9][10][11][12] requires communication facilities that are absent in most medium-voltage distribution grids in developing countries because of limited financial resources.…”

Section: Introductionmentioning

confidence: 99%

Autonomous adaptive Q(U) control for distributed generation in weak medium‐voltage distribution grids

Ampofo

Myrzik

2021

IET Energy Syst Integration

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This study seeks to exploit the reactive power capability of inverter-based distributed generation (DG) to solve the voltageregulation challenges associated with weak mediumvoltage distribution networks in developing countries. Voltage-dependent reactive power control, also known as the Q(U) control method, is widely used for voltage regulation. The challenge with this control mode, however, is determining its control parameters, which must be unique for each bus for optimal performance compared with implementing standardised or general parameters. This paper proposes an innovative approach to incorporate an adaptive functionality into the typical Q(U) control to enhance its performance in medium-voltage grids. This concept, when implemented, achieved better performance than that of the Q(U) control with fixed parameters, which was unsatisfactory under certain conditions, and performance comparable to that of the centralised voltage scheme, which relies on communication facilities. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Robust Constrained Model Predictive Voltage Control in Active Distribution Networks

Cited by 47 publications

References 32 publications

Distributed Coordinated Voltage Control for Distribution Networks With DG and OLTC Based on MPC and Gradient Projection

Distributed Coordinated Voltage Control for Distribution Networks With DG and OLTC Based on MPC and Gradient Projection

An integrated dynamic voltage control strategy in active distribution network based on improved model predictive control

Autonomous adaptive Q(U) control for distributed generation in weak medium‐voltage distribution grids

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